2013
DOI: 10.1504/ijmic.2013.055654
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Bench tests on friction compensation enhanced H<SUB align="right">&infin; control for MIMO magnetic levitation system

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Cited by 3 publications
(1 citation statement)
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“…Some papers pointed out that obviously reducing control step is needed to keep the numerical stability in the case of using explicit algorithm, or explained the difference between explicit and implicit algorithm for a rigid system through a simple example of two variables. At the same time, some algorithms were proposed to solve the rigid problem [4,5]. In this paper, on the basis of numerical integral method which currently used in the time domain simulation analysis, a decoupled quasi-steady-state (QSS) simulation algorithm which synthesizes the desirable properties of implicit and explicit algorithms is put forward.…”
Section: Introductionmentioning
confidence: 99%
“…Some papers pointed out that obviously reducing control step is needed to keep the numerical stability in the case of using explicit algorithm, or explained the difference between explicit and implicit algorithm for a rigid system through a simple example of two variables. At the same time, some algorithms were proposed to solve the rigid problem [4,5]. In this paper, on the basis of numerical integral method which currently used in the time domain simulation analysis, a decoupled quasi-steady-state (QSS) simulation algorithm which synthesizes the desirable properties of implicit and explicit algorithms is put forward.…”
Section: Introductionmentioning
confidence: 99%